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PangMaolin 研究業績一覧 (3件)
国際会議発表 (査読有り)
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Jin Z.,
Pang M.,
Qu T.,
Oshibe H.,
Sasage R.,
Suzuki K..
Feature Map Visualization for Explaining Black-Box Deep Learning Model in Liver Tumor Segmentation,
Scientific Assembly and Annual Meeting of Radiological Society of North America (RSNA),
Nov. 2023.
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Ze Jin,
Maolin Pang,
Yuqiao Yang,
Fahad Parvez Mahdi,
Tianyi Qu,
Ren Sasage,
Kenji Suzuki.
Explaining Massive-Training Artificial Neural Networks in Medical Image Analysis Task Through Visualizing Functions Within the Models,
The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023),
Lecture notes in computer science, LNCS,
Oct. 2023.
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Pang M.,
Jin Z.,
Qu T.,
Mahdi F. P.,
Sasage R.,
Suzuki K..
Functional Model Visualization for Explaining Massive-Training Artificial Neural Network for Liver Tumor Segmentation,
45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE EMBC 2023),
July 2023.
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